Prognostic significance of the estimated pulse wave velocity in critically ill patients with coronary heart disease

Abstract Background The estimated pulse wave velocity (ePWV) has emerged as an alternative measurement of arterial stiffness which has been suggested as a potential marker for mortality and cardiovascular risk. Nonetheless, its prognostic significance in critically ill patients with coronary heart disease (CHD) remains uncertain. Methods Patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) were grouped into quartiles according to the ePWV levels. We conducted logistic and Cox regression analyses to examine the association between ePWV and both in-hospital and 1-year all-cause mortality among critically ill patients with CHD. Additionally, we employed restricted cubic spline (RCS) analysis to explore the relationship between ePWV as a continuous variable and mortality. Results A total of 11001 patients (men: 63.6%, age: 71.94 [IQR: 62.69-81.31]) were included in this study. In-hospital mortality and 1-year mortality rates were 9.1% and 25.1%, respectively. Multivariable logistic regression models demonstrated that ePWV was independently associated with an elevated risk of in-hospital mortality (OR 1.27; 95%CI [1.14-1.41]; p<0.001) and 1-year mortality (OR 1.49; 95% CI [1.38-1.60]; p<0.001]. The restricted cubic splines regression model revealed a linear relationship between ePWV and both in-hospital and 1-year mortality (p for non-linearity = 0.098 and p for non-linearity = 0.156, respectively). Conclusion Our findings indicate a linear association between ePWV levels and short- and long-term mortality in critically ill patients with CHD.

Authors

Institutions

Publication Details

Journal
European Heart Journal
Published
2024-10-01
DOI
https://doi.org/10.1093/eurheartj/ehae666.1733
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic significance of the estimated pulse wave velocity in critically ill patients with coronary heart disease

Aimin Dang, Y Gu
European Heart Journal
Non-Invasive Vital Sign Monitoring
article

Prognostic significance of the estimated pulse wave velocity in critically ill patients with coronary heart disease

Aimin Dang, Y Gu
article en

Abstract

Abstract Background The estimated pulse wave velocity (ePWV) has emerged as an alternative measurement of arterial stiffness which has been suggested as a potential marker for mortality and cardiovascular risk. Nonetheless, its prognostic significance in critically ill patients with coronary heart disease (CHD) remains uncertain. Methods Patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) were grouped into quartiles according to the ePWV levels. We conducted logistic and Cox regression analyses to examine the association between ePWV and both in-hospital and 1-year all-cause mortality among critically ill patients with CHD. Additionally, we employed restricted cubic spline (RCS) analysis to explore the relationship between ePWV as a continuous variable and mortality. Results A total of 11001 patients (men: 63.6%, age: 71.94 [IQR: 62.69-81.31]) were included in this study. In-hospital mortality and 1-year mortality rates were 9.1% and 25.1%, respectively. Multivariable logistic regression models demonstrated that ePWV was independently associated with an elevated risk of in-hospital mortality (OR 1.27; 95%CI [1.14-1.41]; p<0.001) and 1-year mortality (OR 1.49; 95% CI [1.38-1.60]; p<0.001]. The restricted cubic splines regression model revealed a linear relationship between ePWV and both in-hospital and 1-year mortality (p for non-linearity = 0.098 and p for non-linearity = 0.156, respectively). Conclusion Our findings indicate a linear association between ePWV levels and short- and long-term mortality in critically ill patients with CHD.

European Heart JournalVol. 45(Supplement_1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Fu Wai Hospital (CN)
Good health and well-being
Openalex Percentile: Top 83%
Non-Invasive Vital Sign Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.